Data Science & Analytics
Capital Cyberscape, 2nd Floor, Ullahwas, Sector 59, Gurugram, Haryana 122102, India
Carrier
Carrier is the global leader in sustainable healthy buildings, HVAC, commercial and transport refrigeration solutions. Learn more about Carrier Corporation.Country:
IndiaLocation:
Capital Cyberscape, 2nd Floor, Ullahwas, Sector 59, Gurugram, Haryana 122102Role: Data Engineer
Location: Gurgaon
Full/ Part-time: Full Time
Build a career with confidence.
Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.:
Summary
Established Data Science & Analytics professional. Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets
About the role:
Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes
Help streamline our data science workflows, adding value to our product offerings and building out the customer lifecycle and retention models
Work closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning
Be an advocate for best practices and continued learning
Key Responsibilities:
- Expert coding proficiency On Snowflake
- Exposure to SnowSQL, Snowpipe, Role based access controls, ETL / ELT tools like Nifi,Snaplogic,DBT
- Familiar with building data pipelines that leverage the full power and best practices of Snowflake as well as how to integrate common technologies that work with Snowflake (code CICD, monitoring, orchestration, data quality, monitoring)
- Designing Data Ingestion and Orchestration Pipelines using nifi, AWS, kafka, spark, control M
- Establish strategies for data extraction, ingestion, transformation, automation, and consumption.
Role Responsibilities:
- Experience in Data Lake Concepts with Structured, Semi-Structured and Unstructured Data
- Experience in strategies for Data Testing, Data Quality, Code Quality, Code Coverage
- Hands on expertise with Snowflake preferably with SnowPro Core Certification
- Develop a data model/architecture providing integrated data architecture that enables business services with strict quality management and provides the basis for the future knowledge management processes.
- Act as interface between business and development teams to guide thru solution end-to-end.
- Define tools used for design specifications, data modelling and data management capabilities with exploration into standard tools.
- Good understanding of data technologies including RDBMS, No-SQL databases.
Requirements
- A minimum of 3 years prior relevant experience
- Strong exposure to Data Modelling, Data Access Patterns and SQL
- Knowledge of Data Storage Fundamentals, Networking
- Good to Have Exposure of AWS tools/Services
- Ability to conduct testing at different levels and stages of the project
- Knowledge of scripting languages like Java, Python
Education:
Bachelor's degree in computer systems, Information Technology, Analytics, or related business area.
Benefits
We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary.
Have peace of mind and body with our health insurance
Drive forward your career through professional development opportunities
Achieve your personal goals with our Employee Assistance Programme
Our commitment to you
Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way. Join us and make a difference.
Apply Now!
Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Business Intelligence Data analysis Data management Data Mining Data pipelines Data quality dbt ELT ETL Java Kafka Machine Learning NiFi Pipelines Privacy Python RDBMS Research Snowflake Spark SQL Statistics Testing Unstructured data
Perks/benefits: Career development Health care Insurance
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